LLaMA course
Gain complete expertise in LLaMA models from data preparation and fine-tuning to secure deployment, safety measures, monitoring, evaluation, and CI integration. Build scalable AI assistants for engineering and enterprise use with strong privacy and long-term reliability.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches selecting appropriate LLaMA models, efficient fine-tuning on single GPU, preparing quality documentation data, safe deployment with APIs, monitoring, logging, scaling, privacy controls, red-teaming, evaluation, CI integration, and maintenance workflows for reliable performance.
Elevify advantages
Develop skills
- Design LLaMA deployments with fast single-GPU APIs and clear JSON interfaces.
- Build fine-tuning pipelines using LoRA/QLoRA on engineering documents.
- Prepare LLM data by cleaning, labelling, and augmenting technical content securely.
- Implement safety and privacy via PII controls, policies, and runtime protections.
- Establish LLM evaluation with tests, metrics, and CI for consistent quality.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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